Cve Tracker

CVE Tracker

Automated CVE monitoring and alerting system for technology stacks. Continuously tracks the NVD/NIST database, enriches findings with EPSS scoring and CISA KEV catalog data via CVE-MCP, and delivers prioritized daily digests. Designed for security teams who need to know about relevant vulnerabilities before attackers do.

Runs on ARGUS infrastructure with CVE-MCP integration.

Prerequisites

• ARGUS host with shell access
• CVE-MCP available on localhost for CVE enrichment
• curl, jq on PATH
• Technology stack inventory file (see Configuration)

Infrastructure

Core Commands

Define Technology Stack

Create a tech stack inventory that the tracker monitors:

cat > /tmp/tech-stack.json << 'EOF'
{
  "stack_name": "production-infrastructure",
  "last_updated": "2026-07-04",
  "products": [
    {"name": "nginx", "version": "1.24.0", "category": "web-server"},
    {"name": "postgresql", "version": "15.3", "category": "database"},
    {"name": "redis", "version": "7.0.11", "category": "cache"},
    {"name": "nodejs", "version": "20.11.0", "category": "runtime"},
    {"name": "openssl", "version": "3.0.8", "category": "crypto"},
    {"name": "kubernetes", "version": "1.28.0", "category": "orchestration"},
    {"name": "docker", "version": "24.0.5", "category": "container"},
    {"name": "python", "version": "3.11.4", "category": "runtime"},
    {"name": "gitlab", "version": "16.8.0", "category": "devops"},
    {"name": "haproxy", "version": "2.8.1", "category": "load-balancer"}
  ],
  "watchlist": [
    "openssl", "nginx", "postgresql", "kubernetes", "docker"
  ],
  "ignore_cve": []
}
EOF

Single Product CVE Check

Check CVEs for one product via CVE-MCP:

PRODUCT="openssl"
VERSION="3.0.8"

echo "=== CVE Check: $PRODUCT $VERSION ==="
curl -s -X POST "http://localhost:8765/cve-mcp/search" \
  -H "Content-Type: application/json" \
  -d "{\"product\": \"$PRODUCT\", \"version\": \"$VERSION\"}" | \
  jq '.[] | {
    cve: .id,
    cvss: .cvss_score,
    severity: .severity,
    published: .published_date,
    kev: .cisa_kev,
    epss: .epss_score,
    exploit_available: .exploit_available,
    fixed_in: .fixed_version,
    summary: .description[:120]
  }' | head -60

Bulk Tech Stack Scan

Scan entire tech stack and produce a prioritized report:

STACK_FILE="/tmp/tech-stack.json"
REPORT_DIR="$HOME/App/domains/argus/reports/cve-tracker"
REPORT_FILE="$REPORT_DIR/cve-report-$(date +%Y%m%d-%H%M%S).json"
mkdir -p "$REPORT_DIR"

echo "=== CVE Tracker: Bulk Tech Stack Scan ==="
echo "Stack: $(jq -r '.stack_name' "$STACK_FILE")"
echo "Products: $(jq '.products | length' "$STACK_FILE")"
echo ""

# Initialize report
echo '{"scan_date": "'$(date -Iseconds)'", "findings": []}' > "$REPORT_FILE"

# Scan each product
jq -c '.products[]' "$STACK_FILE" | while IFS= read -r product; do
  name=$(echo "$product" | jq -r '.name')
  version=$(echo "$product" | jq -r '.version')
  
  echo "--- $name $version ---"
  
  result=$(curl -s -X POST "http://localhost:8765/cve-mcp/search" \
    -H "Content-Type: application/json" \
    -d "{\"product\": \"$name\", \"version\": \"$version\"}" 2>/dev/null)
  
  if [ -n "$result" ] && [ "$result" != "null" ] && [ "$result" != "[]" ]; then
    cve_count=$(echo "$result" | jq 'length')
    echo "  Found: $cve_count CVEs"
    
    # Prioritize: KEV + EPSS first
    echo "$result" | jq -c --arg product "$name" --arg version "$version" '.[] | {
      product: $product,
      version: $version,
      cve: .id,
      cvss: .cvss_score,
      severity: .severity,
      kev: .cisa_kev,
      epss: .epss_score,
      exploit: .exploit_available,
      fixed: .fixed_version
    }' >> "$REPORT_DIR/tmp-findings.jsonl"
  else
    echo "  No CVEs found"
  fi
done

# Compile final report
if [ -f "$REPORT_DIR/tmp-findings.jsonl" ]; then
  echo ""
  echo "=== Prioritized Findings ==="
  
  # Sort by severity: KEV first, then CVSS descending
  jq -s 'sort_by(
    (if .kev == true then 0 else 1 end),
    (if .cvss then -.cvss else 999 end)
  )' "$REPORT_DIR/tmp-findings.jsonl" > "$REPORT_FILE.tmp"
  
  # Move to final report
  jq --argjson findings "$(cat "$REPORT_FILE.tmp")" \
    '.findings = $findings' "$REPORT_FILE" > "${REPORT_FILE}.final"
  mv "${REPORT_FILE}.final" "$REPORT_FILE"
  
  # Print summary
  total=$(jq '.findings | length' "$REPORT_FILE")
  critical=$(jq '[.findings[] | select(.cvss >= 9.0)] | length' "$REPORT_FILE")
  high=$(jq '[.findings[] | select(.cvss >= 7.0 and .cvss < 9.0)] | length' "$REPORT_FILE")
  kev=$(jq '[.findings[] | select(.kev == true)] | length' "$REPORT_FILE")
  with_exploit=$(jq '[.findings[] | select(.exploit == true)] | length' "$REPORT_FILE")
  
  echo ""
  echo "Summary:"
  echo "  Total CVEs:       $total"
  echo "  Critical (≥9.0):  $critical"
  echo "  High (7.0-8.9):   $high"
  echo "  CISA KEV:         $kev"
  echo "  Exploit available: $with_exploit"
  echo ""
  echo "Report: $REPORT_FILE"
  
  # Show top 5 most critical
  echo ""
  echo "=== Top 5 Most Critical ==="
  jq -r '.findings[:5][] | "  \(.cve) | \(.product) \(.version) | CVSS:\(.cvss) | KEV:\(.kev) | Exploit:\(.exploit)"' "$REPORT_FILE"
  
  rm -f "$REPORT_DIR/tmp-findings.jsonl" "$REPORT_FILE.tmp"
fi

NVD API 2.0 — Recent CVEs

Fetch recently published CVEs directly from NVD:

# Last 24 hours, moderate+ severity
NVD_API="https://services.nvd.nist.gov/rest/json/cves/2.0"

curl -s "${NVD_API}?pubStartDate=$(date -d '24 hours ago' -Iseconds | sed 's/+.*//')&pubEndDate=$(date -Iseconds | sed 's/+.*//')&cvssV3Severity=CRITICAL&resultsPerPage=20" | \
  jq '.vulnerabilities[] | {
    cve: .cve.id,
    published: .cve.published,
    cvss: .cve.metrics.cvssMetricV31[0].cvssData.baseScore,
    severity: .cve.metrics.cvssMetricV31[0].cvssData.baseSeverity,
    vector: .cve.metrics.cvssMetricV31[0].cvssData.vectorString,
    description: .cve.descriptions[0].value[:150]
  }'

KEV Catalog Check

Check CISA Known Exploited Vulnerabilities catalog for your products:

STACK_FILE="/tmp/tech-stack.json"

echo "=== CISA KEV Catalog Check ==="

# Get watchlist products
jq -r '.watchlist[]' "$STACK_FILE" | while IFS= read -r product; do
  echo "--- $product ---"
  curl -s -X POST "http://localhost:8765/cve-mcp/search" \
    -H "Content-Type: application/json" \
    -d "{\"product\": \"$product\", \"kev_only\": true}" | \
    jq -r '.[] | "  \(.id) — \(.description[:100])"'
done

EPSS Score Lookup

Get EPSS (Exploit Prediction Scoring System) scores:

CVE="CVE-2024-3094"

curl -s -X POST "http://localhost:8765/cve-mcp/epss" \
  -H "Content-Type: application/json" \
  -d "{\"cve_id\": \"$CVE\"}" | jq '{
    cve: .cve_id,
    epss_score: .epss,
    percentile: .percentile,
    date: .date,
    interpretation: (
      if .epss >= 0.5 then "HIGH — likely exploited within 30 days"
      elif .epss >= 0.1 then "MEDIUM — moderate exploitation probability"
      else "LOW — unlikely to be exploited"
      end
    )
  }'

Daily Digest Cron Job

Set up a daily CVE digest as an ARGUS cron job:

# This would be registered as a cron job in ~/.hermes/cron/
# Command to run daily:
DAILY_DIGEST_SCRIPT="$HOME/App/domains/argus/clawhub-skills/cve-tracker/daily-digest.sh"

cat > "$DAILY_DIGEST_SCRIPT" << 'CRONEOF'
#!/bin/bash
STACK_FILE="$HOME/App/domains/argus/clawhub-skills/cve-tracker/tech-stack.json"
DIGEST_DIR="$HOME/App/domains/argus/reports/cve-tracker/digests"
mkdir -p "$DIGEST_DIR"

DIGEST="$DIGEST_DIR/digest-$(date +%Y%m%d).md"

echo "# CVE Daily Digest — $(date +%Y-%m-%d)" > "$DIGEST"
echo "" >> "$DIGEST"

# Check each product in watchlist
jq -r '.watchlist[]' "$STACK_FILE" | while IFS= read -r product; do
  result=$(curl -s -X POST "http://localhost:8765/cve-mcp/search" \
    -H "Content-Type: application/json" \
    -d "{\"product\": \"$product\", \"days\": 7}" 2>/dev/null)
  
  count=$(echo "$result" | jq 'length' 2>/dev/null || echo "0")
  
  echo "## $product — $count new CVEs this week" >> "$DIGEST"
  
  if [ "$count" -gt 0 ]; then
    echo "$result" | jq -r '.[] | 
      "- **\(.id)** (CVSS \(.cvss_score)): \(.description[:100])\n  KEV: \(.cisa_kev) | EPSS: \(.epss_score) | Exploit: \(.exploit_available)"
    ' >> "$DIGEST" 2>/dev/null
  fi
  echo "" >> "$DIGEST"
done

echo "Digest written: $DIGEST"
CRONEOF

chmod +x "$DAILY_DIGEST_SCRIPT"
echo "Daily digest script created: $DAILY_DIGEST_SCRIPT"

Usage Patterns

Initial Tech Stack Audit

When onboarding a new system:

1. Define the tech stack inventory (products + versions)
2. Run bulk tech stack scan
3. Identify all existing CVEs with CVSS >= 7.0
4. Prioritize KEV-listed vulnerabilities
5. Create remediation plan with deadlines based on severity
6. Set up daily monitoring

Continuous Monitoring

Day-to-day CVE tracking:

1. Daily digest generated via cron
2. Alert on new CRITICAL CVEs affecting watchlist products
3. Weekly full tech stack rescan
4. Monthly EPSS trend analysis (are exploitation probabilities rising?)
5. Quarterly CVE posture review

Incident Trigger

When a high-profile CVE drops (e.g., Log4Shell, xz backdoor):

1. Immediate check against tech stack inventory
2. If affected: CVE-MCP enrichment (EPSS, KEV, exploit availability)
3. Cross-reference with vulnerability-scanner for validation
4. Trigger incident-responder if active exploitation confirmed
5. Generate emergency advisory for team

Pricing Tiers

Free (Basic)

• Tech stack inventory (up to 10 products)
• Weekly manual CVE check via CVE-MCP
• 10 CVE lookups/day
• Text-only digest
• Single user

Pro ($19/month)

• Unlimited products in tech stack
• Daily automated digest (email/webhook)
• KEV catalog monitoring with alerting
• EPSS scoring on all findings
• Bulk CVE search (100 queries/day)
• Priority alerting: CRITICAL CVEs within 1 hour
• Historical CVE trend data
• 5 team members

Enterprise ($99/month)

• Unlimited everything
• Real-time NVD API monitoring (15-minute polling)
• Custom risk scoring rules
• CI/CD webhook integration
• SBOM-based CVE matching
• SLA: critical alert within 15 minutes
• API access for custom integrations
• Dedicated success manager

Configuration

Troubleshooting

Security

• API key management — NVD API key via environment variable, never in scripts
• Data classification — Tech stack inventory is sensitive; encrypt at rest
• Alert fatigue — Configure meaningful thresholds to avoid desensitization
• False positives — Always verify version applicability before acting on CVE matches
• Responsible disclosure — Do not share CVE intelligence about third-party products publicly
• ARGUS scope — Only track systems you own or have authorization to monitor

CVE-MCP Integration

CVE-MCP provides the intelligence layer:

• CVE Lookup — full CVE details by ID
• Product Search — CVEs by product + version
• KEV Catalog — CISA Known Exploited Vulnerabilities status
• EPSS Scoring — exploit prediction scores (0-1)
• Exploit Maturity — public exploit availability
• CVSS Vector — full CVSS 3.1 vector string
• Patch Status — fixed version and vendor advisory links

Related Skills

• vulnerability-scanner — active scanning to validate CVE applicability
• osint-investigator — OSINT for threat actor context around CVEs
• incident-responder — response when tracked CVE becomes actively exploited
• gdpr-security-auditor — compliance impact of vulnerability remediation